JD – Senior Engineer Role (QA Data Tester / BI Tester)

Role Overview
We are looking for a Data QA Tester with strong fundamentals in ETL, Data Warehousing, and BI testing. The role focuses on executing data validation, ensuring data quality, and supporting automation and cloud-based testing initiatives.

Required Qualifications
3+ years of experience in Data / ETL / BI Testing
Strong hands-on experience in SQL (mandatory)
Good understanding of ETL processes and Data Warehousing concepts
Exposure to BI testing (Power BI / Tableau)
Exposure to cloud platforms (Azure / AWS / GCP)

Core Responsibilities
Understand business requirements, data models, and mappings
Create and execute test cases for ETL and data pipelines
Perform data validation using SQL queries
Validate BI reports and dashboards against source data
Perform data reconciliation between source and target systems
Test data across structured and semi-structured formats
Identify, log, and track defects; support resolution with dev teams
Participate in SIT cycles and testing activities
Support automation initiatives (Python or tools) where applicable

Skills & Expertise
Strong in:
SQL querying and data validation
ETL & Data Warehousing concepts (Facts, Dimensions, Schemas)
Working knowledge of:
Data integration across multiple systems
Basic cloud data environments
Exposure to:
Python (for validation or basic automation support)
Modern platforms (Databricks / Snowflake / BigQuery / MS Fabric – awareness level)
Good analytical and communication skills

Expectation from Role
Independently execute testing tasks with minimal supervision and handle daily internal calls with good communication skills.
stakeholders with valuable communication skills.
Deliver high-quality data validation
Build confidence in understanding business logic

JD – Lead Engineer Role (QA Data Tester / BI Tester | 6–9 Years)

Role Overview




We are looking for a Lead QA Tester who can independently handle complex data testing scenarios, contribute to test strategy, and drive quality across ETL pipelines, data platforms, and BI systems. This role requires strong SQL expertise, deeper system understanding, and proactive problem-solving.

Required Qualifications
6+ years of experience in Data / ETL / BI Testing
Strong expertise in SQL and data validation techniques
Strong hands-on experience in ETL and Data Warehousing
Experience in BI testing (Power BI / Tableau)
Hands-on exposure to cloud platforms (Azure / AWS / GCP)
Hands-on exposure to data automation (Python)
Experience in test planning and test strategy contribution

Core Responsibilities
Analyze complex data models, mappings, and transformations
Design and execute end-to-end data testing scenarios (SIT/UAT)
Perform advanced data validation and reconciliation using SQL
Validate BI reports with complex business logic
Handle data validation across:
Structured
Semi-structured (JSON, XML, Parqet)
Unstructured data (basic understanding)
Identify data issues, perform root cause analysis , and suggest fixes
Contribute to test strategy, test planning, and estimation
Guide team members on testing approach and best practices
Work closely with business, dev, and data engineering teams

Skills & Expertise
Strong expertise in:
ETL Testing & Data Warehousing concepts
Complex SQL (joins, aggregations, performance-aware queries)
BI report validation
Hands-on experience in:
Python for data validation / automation (writing reusable scripts)
Good exposure to:
Data platforms: Databricks, Snowflake, BigQuery, MS Fabric
Cloud ecosystems: Azure / AWS / GCP
Strong debugging and analytical skills

Expectation from Role
Handle complex testing independently and stakeholders with good communication skills.
Act as a go-to person for data validation challenges
Contribute to improving testing processes and efficiency
Support and guide junior team members (without full ownership)

📌 Senior Engineer / Lead - Quality Engineering (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru